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You're reading from  Modern Time Series Forecasting with Python

Product typeBook
Published inNov 2022
PublisherPackt
ISBN-139781803246802
Edition1st Edition
Concepts
Data Science
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Author (1)
Manu Joseph
Manu Joseph
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Manu Joseph

Manu Joseph is a self-made data scientist with more than a decade of experience working with many Fortune 500 companies enabling digital and AI transformations, specifically in machine learning-based demand forecasting. He is considered an expert, thought leader, and strong voice in the world of time series forecasting. Currently, Manu leads applied research at Thoucentric, where he advances research by bringing cutting-edge AI technologies to the industry. He is also an active open-source contributor and developed an open-source library—PyTorch Tabular—which makes deep learning for tabular data easy and accessible. Originally from Thiruvananthapuram, India, Manu currently resides in Bengaluru, India, with his wife and son
Read more about Manu Joseph

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Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

Symbols

.dt accessor

using 25, 26

A

absolute error (AE) 471, 472

loss curves and complementary pairs for 478

Acorn classes 21

activation functions 273

Hyperbolic tangent (tanh) 275

sigmoid 274

Add and Norm block 438

additive attention 354, 355

Air Quality Monitoring Data

reference link 29

algorithmic partitioning 251-255

alignment function 350, 352, 425

additive/concat attention 354, 355

dot product 352

general attention 353, 354

scaled dot product attention 353

attention 348-350

forecasting with 356-360

attention distillation 427

Augmented Dickey-Fuller (ADF) test 143, 144

Auto ARIMA 88

autocorrelation 87

autocorrelation function (ACF) 152

auto-correlation mechanism, Autoformer model 433

period-based dependencies...

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Modern Time Series Forecasting with Python
Published in: Nov 2022Publisher: PacktISBN-13: 9781803246802
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Author (1)

author image
Manu Joseph

Manu Joseph is a self-made data scientist with more than a decade of experience working with many Fortune 500 companies enabling digital and AI transformations, specifically in machine learning-based demand forecasting. He is considered an expert, thought leader, and strong voice in the world of time series forecasting. Currently, Manu leads applied research at Thoucentric, where he advances research by bringing cutting-edge AI technologies to the industry. He is also an active open-source contributor and developed an open-source library—PyTorch Tabular—which makes deep learning for tabular data easy and accessible. Originally from Thiruvananthapuram, India, Manu currently resides in Bengaluru, India, with his wife and son
Read more about Manu Joseph

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